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Alternatives to backend-unslop-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      It lets clients request design-time audits of Python and TypeScript agent applications for defects such as unbounded loops, ungated destructive actions, weak argument validation, insufficient run budgets, absent resiliency controls, overlooked evals, and poor observability. Findings include supporting evidence and feed an approval-driven mechanism for reviewing proposed fixes without mutating the original source.
      25 PyPI
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents to run deterministic completeness audits on code before declaring 'done'—catching unwired modules, placebo tests, swallowed errors, and stubs via AST analysis, entirely offline and free.
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Evidence-backed, read-only codebase diagnostics for coding agents: secrets, dependency, RLS, and source-impact audits with a verify loop and PR review verdicts. Never writes files or uses the network by default.
      4
      2,726 npm
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to query a live, type-aware, intent-aware cross-repo index of an organization's TypeScript services, answering semantic questions about functions, endpoints, types, and behavior across repositories. It also supports validation of cross-repo API mismatches and same-repo checks.
      5
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables coding agents and CI to verify rendered web UIs against design token usage, layout constraints, and accessibility rules, returning concise pass/fail verdicts with actionable findings.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables deterministic auditing of agent skills, system prompts, and downloaded file collections against eight malicious-skill supply-chain patterns, returning line-numbered findings and pass/flag verdicts without using an LLM or network calls.
      31 PyPI
      MIT